What do you think of "Normal Distribution"? How could you use it?
First of all, let us consider the concept in question. It is called 'Normal Distribution'.
It is a distribution of data around the mean. It is used in statistics to represent random and normally distributed values.
So, data is distributed around a mean value. This means that there are values other than the mean value.
If the mean is at X, then there are values to the left of it and right of it. The range from -X to +X.
This is a very simple concept. But one that has many practical applications.
It is a useful concept in many fields, such as physics.
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You are getting an AI to generate text on different topics.
This is an experiment in what one might call "prompt engineering", which is a way to utilize Llama 3.1 405b, a neural network trained by Meta.
Llama is a language model. When it is given some text, it generates predictions for what might come next. It is remarkably good at adapting to different contexts, as defined by a prompt (in this case, hidden), which sets the scene for what type of text will be generated.
Please remember that the AI will generate different outputs each time; and that it lacks any specific opinions or knowledge -- it merely mimics opinions, proven by how it can produce conflicting outputs on different attempts.
Feel free to share interesting outputs to /r/philosopherAI on Reddit.